A General Frame for Building Optimal Multiple SVM Kernels

نویسندگان

  • Dana Simian
  • Florin Stoica
چکیده

The aim of this paper is to define a general scheme for building optimal multiple SVM kernels. We implement and compare many hybrid methods derived from this scheme. We tested our multiple kernels for classification tasks but they can be also used for other types of tasks.

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تاریخ انتشار 2011